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Shape-Based Algorithm for Automated Design of Low-Thrust, Gravity-Assist Trajectories
The computational implementation of an analytic, shape-based method for the design of low-thrust, gravity-assist trajectories is described, and selected trajectories are successfully used as initial estimates in an optimization program employing direct methods.
Non-gravitational acceleration in the trajectory of 1I/2017 U1 (‘Oumuamua)
‘Oumuamua—the first known interstellar object to have entered the Solar System—is probably a comet, albeit with unusual dust and chemical properties owing to its origin in a distant solar system.
Low-thrust Orbit Transfers Using Candidate Lyapunov Functions with a Mechanism for Coasting
We consider low-thrust orbit transfers around a central body, where specified changes are sought in orbit elements except true anomaly. The desired changes in the remaining five elements can be
Simple control laws for low-thrust orbit transfers
Two methods are presented by which to determine both a thrust direction and when to apply thrust to effect specified changes in any of the orbit elements except for true anomaly, which is assumed
Automated Design of Low-Thrust Gravity-Assist Trajectories
The promise of low-thrust gravity-assist (LTGA) trajectories is considerable because they can grant access to scientific targets for low propellant costs and with short flight times. Low-thrust
Trajectories to Jupiter via Gravity Assists from Venus, Earth, and Mars
Gravity-assist trajectories to Jupiter, launching between 1999 and 2031, are identiŽ ed using patched-conic techniques. The classical trajectories, such as the Venus–Earth–Earth gravity assist, and
GTOC9: Methods and Results from the Jet Propulsion Laboratory Team
The removal of 123 pieces of debris from the Sunsynchronous LEO environment is accomplished by a 10-spacecraft campaign wherein the spacecraft, flying in succession over an 8-yr period, rendezvous
Comparison of Multi-Objective Genetic Algorithms in Optimizing Q-Law Low-Thrust Orbit Transfers
Multi-objective genetic algorithms (MOGA) are used to optimize a low-thrust spacecraft control law for orbit transfers around a central body. A Lyapunov feedback control law called the Q-law is used